Abstract
This paper proposes a novel interactive image segmentation algorithm based on the Grow Cut of two different scale graphs. Firstly, Watershed algorithm based on color information has been used to partition the image into many different regions which will be considered as the cells of Grow Cut, instead of image pixels. Then a segmentation result can be obtained by using Grow Cut on the aforementioned regions. Finally an automatic edge correction can be used on the segmentation result by Grow Cut of pixel-scale graph. Because the number of nodes and edges for the Grow Cut algorithm is reduced by more than fifty times compared to the pixel based method, the running time of our proposed algorithm is much less than the original Grow Cut. The segmentation performance of our proposed is much better than the original Grow Cut. Experimental results on Berkeley image dataset demonstrated the effectiveness of proposed method.
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References
Boykov, Y., Kolmogorov, V.: Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In: Proc. of ICCV, pp. 105–112 (2001)
Chan, T.F., Vese, L.A.: Active Contours without Edges. IEEE Trans. on Image Processing 10(2), 266–277 (2001)
Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. on PAMI 26(9), 1124–1137 (2004)
Rother, C., Kolmogorov, V., Blake, A.: GrabCut-interactive foreground extraction using iterated graph cuts. ACM Trans. on Graphics 23(3), 309–314 (2004)
Li, Y., Sun, J., Tang, C.K., Shum, H.: Lazy snapping. In: Proc. of ACM SIGGRAPH, pp. 303–308 (2004)
Vezhnevets, V., Konouchine, V.: “Grow-Cut” - Interactive Multi-Label N-D Image Segmentation. In: Proc. Graphicon, pp. 150–156
Vincent, L., Soille, P.: Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans. on PAMI 13(6), 583–598 (1991)
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© 2012 Springer-Verlag Berlin Heidelberg
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Li, X., Chen, J., Fan, H. (2012). Interactive Image Segmentation Based on Grow Cut of Two Scale Graphs. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_13
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DOI: https://doi.org/10.1007/978-3-642-34595-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34594-4
Online ISBN: 978-3-642-34595-1
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